Python Developer

Kelly; Irving (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

Kelly is seeking a Senior Python Engineer to design, develop, and support scalable enterprise applications using Python, microservices, APIs, and event-driven architectures. The role emphasizes Agentic AI, MCP integrations, and LLM-enabled solutions within distributed systems.

The candidate will work with architecture, data, and infrastructure teams to ensure secure, compliant, and observable cloud-native platforms, employing Kafka or similar messaging technologies and establishing robust CI/CD

Qualifications

• Strong hands-on experience with Python, FastAPI/Flask, REST APIs, and microservices.
• Experience with distributed, event-driven, and asynchronous architectures.
• Strong SQL and relational database experience.
• Experience with CI/CD, automated testing, Git/source control, Linux, containers, and cloud-native environments.
• Experience with Agentic AI, GenAI, LLMs, MCP, AI orchestration, RAG, or prompt engineering.
• Experience with Kafka/MQ, PySpark, Databricks, Kubernetes/OpenShift, Docker, or cloud platforms.
• Knowledge of data engineering, ELT/ETL, data modeling, data warehousing, Data Mesh, or data federation.
• Experience with AI governance, model risk, observability, security, and auditability.
• Banking, financial services, risk management, or capital markets experience preferred.

Responsibilities

• Design, develop, test, and support Python-based applications, services, and platforms.
• Build and maintain REST APIs, microservices, and event-driven/asynchronous services.
• Develop Agentic AI workflows, AI orchestration solutions, MCP integrations, and LLM-enabled applications.
• Integrate AI services with enterprise applications, data platforms, and business systems.
• Implement scalable, resilient, secure, and reusable solutions following enterprise architecture standards.
• Work with Kafka, MQ, or similar messaging/streaming technologies.
• Implement CI/CD, automated testing, DevOps/DevSecOps, monitoring, logging, observability, and operational controls.
• Support cloud-native platforms, containers, and distributed application environments.
• Ensure appropriate security, governance, risk, auditability, and compliance for enterprise and AI-enabled solutions.

Skills

Python

FastAPI/Flask

REST APIs

Microservices

Distributed architectures

Event-driven

Asynchronous

SQL

Relational DBs

CI/CD

Automated testing

Git

Linux

Containers

Cloud-native

Agentic AI

GenAI

LLMs

MCP

AI orchestration

RAG

Prompt engineering

Kafka/MQ

PySpark

Databricks

Kubernetes/OpenShift

Docker

Cloud platforms

Data modeling

Data warehousing

Data Mesh

Data Federation

AI governance

Model risk

Observability

Banking experience

Tools

Kafka/MQ

PySpark

Databricks

Kubernetes/OpenShift

Docker

Cloud platforms

Job description

12+ months contract (potential conversion)

Role Overview: Seeking a Senior Python Engineer to design, develop, and support scalable, secure enterprise applications and platforms using Python, microservices, APIs, event-driven architectures, and emerging AI technologies. The role focuses on Agentic AI, MCP integrations, AI/LLM-enabled applications, and distributed systems, working closely with architecture, data, infrastructure, and business teams.

Key Responsibilities

• Design, develop, test, and support Python-based applications, services, and platforms.
• Build and maintain REST APIs, microservices, and event-driven/asynchronous services.
• Develop Agentic AI workflows, AI orchestration solutions, MCP integrations, and LLM-enabled applications.
• Integrate AI services with enterprise applications, data platforms, and business systems.
• Implement scalable, resilient, secure, and reusable solutions following enterprise architecture standards.
• Work with Kafka, MQ, or similar messaging/streaming technologies.
• Implement CI/CD, automated testing, DevOps/DevSecOps, monitoring, logging, observability, and operational controls.
• Support cloud-native platforms, containers, and distributed application environments.
• Ensure appropriate security, governance, risk, auditability, and compliance for enterprise and AI-enabled solutions.

Required Qualifications

• Strong hands-on experience with Python, FastAPI/Flask, REST APIs, and microservices.
• Experience with distributed, event-driven, and asynchronous architectures.
• Strong SQL and relational database experience.
• Experience with CI/CD, automated testing, Git/source control, Linux, containers, and cloud-native environments.

Preferred Qualifications

• Experience with Agentic AI, GenAI, LLMs, MCP, AI orchestration, RAG, or prompt engineering.
• Experience with Kafka/MQ, PySpark, Databricks, Kubernetes/OpenShift, Docker, or cloud platforms.
• Knowledge of data engineering, ELT/ETL, data modeling, data warehousing, Data Mesh, or data federation.
• Experience with AI governance, model risk, observability, security, and auditability.
• Banking, financial services, risk management, or capital markets experience preferred.